EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
7968
Single Precision Score
8037
Half Precision Score
8341
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | January 30 2025 10:36 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z790 DARK KINGPIN |
| Motherboard | EVGA Corp. Z790 DARK KINGPIN |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4718
877.4 IPS |
|
|
Image Classification (HP)
|
100% |
4762
885.5 IPS |
|
|
Image Classification (Q)
|
100% |
10814
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6834
110.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6839
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11851
192.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14428
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14447
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
39113
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4492
356.3 IPS |
|
|
Object Detection (HP)
|
100% |
4479
355.3 IPS |
|
|
Object Detection (Q)
|
88% |
1992
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
14736
175.1 IPS |
|
|
Face Detection (HP)
|
100% |
14710
174.8 IPS |
|
|
Face Detection (Q)
|
100% |
4640
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13355
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13359
102.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
5050
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33442
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33446
43.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35313
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6577
242.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6644
245.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18213
674.5 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2880
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3764
64.8 IPS |
